TL;DR

Lead Product Software Engineer (Java/Node): Leading and hands-on development of high-quality software solutions for a core platform with an accent on web development technologies, best practices, and scalability. Focus on designing, developing, testing, and debugging complex software in Java or NodeJS while guiding a team of engineers and taking ownership of business features.

Location: Hybrid role based in Bois-Colombes, France or Alphen Aan Den Rijn, Netherlands.

Company

%hirify_global%'s DXG division is a central product technology organization focused on driving customer-focused innovation and state-of-the-art digital solutions, particularly for its Health division.

What you will do

Design, develop, test, and debug complex software solutions in Java or NodeJS.
Lead, coach, and guide a team of senior and junior engineers through the SDLC, including code reviews and deployments.
Translate business requirements into technical solutions, analyzing, planning, and estimating development tasks.
Take ownership for business features from technical design through implementation.
Be a hands-on developer while assisting and understanding other developers’ tasks.

Requirements

Master’s degree in Computer Science or related field.
10+ years of relevant development experience, including 5+ years with web-based applications leveraging Java or NodeJS.
Strong experience in cloud native application development (AWS) and Docker.
Expert knowledge of modern technologies, software development patterns, CI/CD, and DevOps.
Thorough understanding of Git, SDLC, agile practices, and experience with various databases (MySQL, PostgreSQL, SQL Server).
Perfect command of French and English.

Nice to have

Experience with development of single page applications (Angular).
Experience with Jira and Bitbucket.

Culture & Benefits

Team united under a mission to drive customer-focused innovation through next-generation technology.
Emphasis on lean product development and advanced technologies.
Focus on user experience and artificial intelligence centers of excellence.
Hybrid work model (8 days/month onsite).

Hiring process

Candidates must participate in interviews without the assistance of AI tools or external prompts.
Virtual backgrounds should be removed, and in-person interviews may be included.